Triple

T8878704
Position Surface form Disambiguated ID Type / Status
Subject Kovel E211354 entity
Predicate countrySubdivision P766 FINISHED
Object Volyn Oblast E37952 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Volyn Oblast | Statement: [Kovel, countrySubdivision, Volyn Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volyn Oblast
Context triple: [Kovel, countrySubdivision, Volyn Oblast]
  • A. Volyn Oblast chosen
    Volyn Oblast is an administrative region in northwestern Ukraine, bordering Poland and Belarus, known for its historic cities, forests, and lakes.
  • B. Zhytomyr Oblast
    Zhytomyr Oblast is an administrative region in northern-central Ukraine known for its mixed forests, agricultural lands, and historical cities such as Zhytomyr.
  • C. Drohobych Oblast
    Drohobych Oblast was an administrative region of the Ukrainian SSR centered on the city of Drohobych that existed in the mid-20th century before being merged into Lviv Oblast.
  • D. Cherkasy Oblast
    Cherkasy Oblast is an administrative region in central Ukraine known for its agricultural production, historical sites, and location along the Dnieper River.
  • E. Khmelnytskyi Oblast
    Khmelnytskyi Oblast is an administrative region in western Ukraine known for its agricultural economy, historical towns, and location along important transport routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614ad1908190a77808fcf7f3e531 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d61b0c9dec8190af5a38413d4861c2 completed April 8, 2026, 9:08 a.m.
Created at: March 30, 2026, 6:52 p.m.